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The Prediction of Safety Margins at Sea
Published online by Cambridge University Press: 23 November 2009
Abstract
The feasibility of utilizing psychometric tests to investigate accident liability at sea has previously been reported. Analyses of four psychometric tests and ship handling measures, using the statistical techniques of factor analysis and discriminant analysis, investigate the relationship between safety margins and accident liability and support and expand upon earlier conclusions. Evidence is also provided on the validity of a perception-of-risk test for navigators.
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- Research Article
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- Copyright © The Royal Institute of Navigation 1983
References
Notes and References
Taylor, D. H. (1976). Accidents, risks and models of explanation. Human Factors, 18, 371.CrossRefGoogle Scholar
Hale, A. R. and Hale, M. (1970). Accidents in perspective. Occupational Psychology, 44, 115.Google Scholar
Paffett, J. A. H. (1981). Recent developments in marine simulation. This Journal, 34. 165.Google Scholar
Curtis, R. G. and Barratt, M. J. (1981). The validation of radar and simulator results. This Journal, 34, 187.Google Scholar
Mintz, A. and Blum, M. L. (1949). A re-examination of the accident proneness concept. Journal of Applied Psychology, 33, 195.CrossRefGoogle ScholarPubMed
Frogatt, P. and Smiley, J. A. (1964). The concept of accident proneness: a review. British Journal of Industrial Medicine, 21, 1.Google Scholar
Poulton, E. C. (1974). Skilled performance and stress. In Psychology at Work (ed. Warr, P. B.). Harmondsworth, Middlesex: Penguin Education.Google Scholar
Singleton, W. T. (1974). Psychological aspects of man–machine systems. In Psychology Work (ed. Warr, P. B.). Harmondsworth, Middlesex: Penguin Education.Google Scholar
Hagart, J. and Crawshaw, M. (1981). Personality factors and ship handling behaviour. This Journal 34, 202.Google Scholar
Hagart, J. (1979). Accident Proneness at Sea. Unpublished M.Sc. dissertation, Department of Psychology, University of Hull.Google Scholar
Eysenck, H. J. and Eysenck, S. B. G. (1964). Manual of the Eysenck Personality Inventory. London: University of London Press.Google Scholar
Cattell, R. B. (1967). Manual of the Sixteen Personality Factor Questionnaire (16 PF). Champaign, Illinois: Institute for Personality and Ability Testing.Google Scholar
(Multivariate Discriminant Analysis). Discriminant Analysis is a statistical technique which can provide information of theoretical and practical importance. Standard computer programmes utilizing this technique have the ability to construct linear mathematical functions from raw sets of data. These can be used to discriminate between individuals or groups on the basis of known information. Or, utilizing the functions so constructed, discriminant analysis programmes have the ability to classify individuals, or groups whose actual membership or status on a variable in question is not known, on the basis of partial evidence. A hypothetical example would be where, on the basis of known factors associated with accident liability, discriminant functions would predict accident liability (on a probabilistic basis) where similar objective information is inadequate or lacking.Google Scholar
Cattell, R. B. (1973). Personality and Mood by Questionnaire. San Francisco: Jossey-Bass.Google Scholar
Copies of the revised test are available from the author.Google Scholar
Roberts, J. M. and Wicke, J. O. (1972). Flying and expressive self-testing: an exploratory consideration. Journal of Safety Research, 4, 60.Google Scholar
Soliday, S. M. (1975). Development and preliminary testing of a driving hazard questionnaire. Perceptual and Motor Skills, 41, 763.CrossRefGoogle Scholar
Steiner, J. (1972). A questionnaire study of risk-taking in psychiatric patients. British Journal of Medical Psychology, 45, 365.CrossRefGoogle ScholarPubMed
Martin, G. L. and Heimstra, N. W. (1973). The perception of hazard by children. Journal of Safety Research, 5, 238.Google Scholar